Rayoluo (rayoluo)

rayoluo

Geek Repo

Company:HUST,UCAS,JD

Location:Beijing, China

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Rayoluo's repositories

cilium

eBPF-based Networking, Security, and Observability

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clickhouse_sinker

Easily load data from kafka to ClickHouse

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client-go

Go client for Kubernetes.

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volcano

A Cloud Native Batch System (Project under CNCF)

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clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

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copier

Copier for golang, copy value from struct to struct and more

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descheduler

Descheduler for Kubernetes

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dlrover

DLRover: An Automatic Distributed Deep Learning System

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elasticdl

Kubernetes-native Deep Learning Framework

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go-cache

An in-memory key:value store/cache (similar to Memcached) library for Go, suitable for single-machine applications.

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go-clean-arch

Go (Golang) Clean Architecture based on Reading Uncle Bob's Clean Architecture

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go-questions

📖 Go 程序员面试笔试宝典 | 从问题切入,串连 Go 语言相关的所有知识,融会贯通。 https://golang.design/go-questions

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go-stash

go-stash is a high performance, free and open source server-side data processing pipeline that ingests data from Kafka, processes it, and then sends it to ElasticSearch.

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godis

A Golang implemented Redis Server and Cluster. Go 语言实现的 Redis 服务器和分布式集群

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k8s-club

K8s-club for learn, share and explore the K8s world :)

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katalyst-core

Katalyst aims to provide a universal solution to help improve resource utilization and optimize the overall costs in the cloud. This is the core components in Katalyst system, including multiple agents and centralized components

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keda

KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

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koordinator

QoS based scheduling system for hybrid orchestration workloads on Kubernetes, bringing workloads the best layout and status.

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kube-trigger

kube-trigger watches events and triggers actions.

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kubebuilder

Kubebuilder - SDK for building Kubernetes APIs using CRDs

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kubernetes

Production-Grade Container Scheduling and Management

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Lucid

Lucid: A Non-Intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs

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nos

Module to Automatically maximize the utilization of GPU resources in a Kubernetes cluster through real-time dynamic partitioning and elastic quotas - Effortless optimization at its finest!

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notes

🔥 技术笔记 ( 高性能/分布式/kubernetes/golang/kv引擎等 )

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sample-controller

Repository for sample controller. Complements sample-apiserver

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scheduler-plugins

Repository for out-of-tree scheduler plugins based on scheduler framework.

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torch-on-k8s

A minimal implementation for running distributed torch training jobs in k8s cluster.

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wxmp

微信公众号文章 Markdown 编辑器,使用 markdown 语法创建一篇简介美观大方的微信公众号图文。

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